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Paper Citation Record · LEDGER

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study

As of 15 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.11261.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.11261 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:27:31.290615Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 491409d9-2e94-488d-aaf7-73b34429587d · outbound

This paper cites Organics5(4), 520–560 (2024) https://doi.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Organics5(4), 520–560 (2024) https://doi

Reference 1

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Observation 527affed-3b13-4fd3-9ebe-753185eb3368 · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 2

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verified exact
doi, observed 2026-08-14T04:27:31.499934Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 92ca0171-2e38-45be-94c2-2528442027cf · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 3

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verified exact
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This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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This paper cites J Cheminform15(1), 69 (2023) https://doi.org/10.1186/s13321-023-00737-5.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study J Cheminform15(1), 69 (2023) https://doi.org/10.1186/s13321-023-00737-5

Reference 5

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doi, observed 2026-08-14T04:27:31.472674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4a249b4b-e01a-4741-a71a-a5142f0d3874 · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 5aa165ed-05cb-4a92-bf71-09431c57a4fc · outbound

This paper cites npj Comput Mater3(1), 54 (2017) https://doi.org/10.1038/ s41524-017-0056-5.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study npj Comput Mater3(1), 54 (2017) https://doi.org/10.1038/ s41524-017-0056-5

Reference 7

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Source-reported events for the cited work

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This paper cites npj Comput Mater7(1), 185 (2021) https://doi.org/10.1038/s41524-021-00650-1.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study npj Comput Mater7(1), 185 (2021) https://doi.org/10.1038/s41524-021-00650-1

Reference 8

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 9

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Observation c0f9b3b2-acb1-4ac3-ba9a-358be2bba015 · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 10

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Observation ef0faa0e-64d5-4de9-ae95-dc01e42a9016 · outbound

This paper cites In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp

Reference 11

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Observation 49b40b3c-44a6-4742-a32e-9c56fad4d2eb · outbound

This paper cites MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Reference 12

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Observation c7a773db-2ee4-49cd-91fe-36aec3355710 · outbound

This paper cites Neural Comput.9(8), 1735–1780 (1997) https: //doi.org/10.1162/neco.1997.9.8.1735.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Neural Comput.9(8), 1735–1780 (1997) https: //doi.org/10.1162/neco.1997.9.8.1735

Reference 13

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Reference 14

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Observation e40ffaa4-fd54-4b65-af08-71fc9c2b3bba · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 64f3bda3-5204-4771-b300-a79131741eff · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 16

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This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 17

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Observation 9ba687e0-c185-4497-8fd5-30004c37d64d · outbound

This paper cites Sci Data3(1), 160086 (2016) https://doi.org/10.1038/sdata.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Sci Data3(1), 160086 (2016) https://doi.org/10.1038/sdata

Reference 18

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Observation 7a3d44ee-2fcf-455c-a9b9-056b6c99669f · outbound

This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 19

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Observation 881da2a3-45e4-4c18-92d6-7e24942015f4 · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 20

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Observation f887d21c-ffcc-4f45-abda-cf640f48c557 · outbound

This paper cites Kluwer Academic Publishers, Dordrecht (1996).

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Kluwer Academic Publishers, Dordrecht (1996)

Reference 21

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Observation 3f95d959-0202-4fd3-bd5e-f2f85a238c4d · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 22

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Observation 8e31fe20-ec0f-411d-8abd-df095b80a39d · outbound

This paper cites an unresolved cited work.

Temperature-Driven Sequential Modeling for the Prediction of Annual Power Conversion Efficiency Profiles of Organic Photovoltaic Materials: Douala Case Study Unresolved cited work

Reference 23

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Pith citing papers

No inbound Pith citation observations are available.